.
Authors:
- Bich Tran ([email protected])
- Solomon Seyoum
- Claire Michailovsky
- Bert Coerver
With contributions from:
- Marloes Mul
- Quan Pan
- Elga Salvadore
- Tim Hessels
This repository contains ipython notebooks, python scripts for the rapid Water Accounting analysis using WaPOR data in 5 river basins: Litani, Jordan, Awash, Niger, Nile. This work is done by the Water Accounting group at IHE-DELFT Institute for Water Education as a part of the WaPOR programme of The Food and Agriculture Organization of the United Nations (FAO).
http://www.fao.org/in-action/remote-sensing-for-water-productivity/overview/about-the-programme/en/
- dask=2.27.*
- gdal=2.3.*
- matplotlib=3.3.*
- netcdf4=1.4.*
- notebook=6.1.1=py37_0
- numpy=1.19.*
- pandas=1.1.*
- pip=20.1.1=py37_1
- pyshp=2.1.*
- python=3.7.*
- shapely=1.6.*
- tqdm=4.49.*
- xarray=0.16.*
- geopy==2.0.*
- requests=2.24.*
Change to folder contain environment.yml file
>>> D:
>>> cd Github/WAPORWA
Create environment from environment.yml file
>>> conda create env
Activate environment
>>> conda activate waporwa